Publications of Heiko Hoffmann

Publications

Peer-reviewed journal articles

Computational models for neuromuscular function: Francisco Valero-Cuevas, Heiko Hoffmann, Manish Kurse, Jason Kutch, and Evangelos Theodorou (all authors contributed equally); IEEE Reviews in Biomedical Engineering, Vol. 2, 2009, pp 110-135
Local dimensionality reduction for non-parametric regression: Heiko Hoffmann, Stefan Schaal, and Sethu Vijayakumar; Neural Processing Letters, Vol. 29, 2009, pp 109-131; The original article is available online at Springerlink.com; [pdf, 556KB]
Grasping to Extrafoveal Targets: A Robotic Model: Wolfram Schenck, Heiko Hoffmann, and Ralf Möller; New Ideas in Psychology, in press; Available online at ScienceDirect; [pdf, 984KB]
Perception through Visuomotor Anticipation in a Mobile Robot: Heiko Hoffmann; Neural Networks, Vol. 20, 2007, pp. 22-33; Available online at ScienceDirect; [pdf, 1564KB]; Cited by 20 or more
Kernel PCA for Novelty Detection: Heiko Hoffmann; Pattern Recognition, Vol. 40, 2007, pp. 863-874; Available online at ScienceDirect; [pdf, 748KB]; Cited by 28 or more
Learning visuomotor transformations for gaze-control and grasping: Heiko Hoffmann, Wolfram Schenck, Ralf Möller; Biological Cybernetics, Vol. 93, 2005, pp. 119-130; Available online at springerlink.com; [pdf, 620KB]
Studies of crack dynamics in clay soil. I. Experimental methods, results and morphological quantification: Hans-Jörg Vogel, Heiko Hoffmann, Kurt Roth; Geoderma, Vol. 125, 2005, pp. 203-211; [pdf, 576KB]; Cited by 35 or more
Studies of crack dynamics in clay soil. II. A physically based model for crack formation: Hans-Jörg Vogel, Heiko Hoffmann, Andreas Leopold, Kurt Roth; Geoderma, Vol. 125, 2005, pp. 213-223; [pdf, 596KB]; Cited by 16 or more
An extension of Neural Gas to local PCA: Ralf Möller, Heiko Hoffmann; Neurocomputing, Vol. 62, December 2004, pp. 305-326; [pdf, 1194KB]
Cross-correlation studies with seismic noise: Heiko Hoffmann, John Winterflood, Yong-Jing Cheng, David G. Blair; Classical and Quantum Gravity, Vol. 19, 2002, pp. 1709-1716; [pdf, 152KB]

Peer-reviewed conference articles

Biologically-inspired dynamical systems for movement generation: Automatic real-time goal adaptation and obstacle avoidance: Heiko Hoffmann, Peter Pastor, Dae-Hyung Park, and Stefan Schaal; IEEE International Conference on Robotics and Automation , 2009.; [pdf, 692K]; Cited by 9 or more
Learning and Generalization of Motor Skills by Learning from Demonstration: Peter Pastor, Heiko Hoffmann, Tamim Asfour, and Stefan Schaal; IEEE International Conference on Robotics and Automation , 2009.; [pdf, 1548K]
Movement reproduction and obstacle avoidance with dynamic movement primitives and potential fields: Dae-Hyung Park, Heiko Hoffmann, Peter Pastor, and Stefan Schaal; IEEE International Conference on Humanoid Robots , 2008.; [pdf, 672K]
Sensor-assisted adaptive motor control under continuously varying context: Heiko Hoffmann, Georgios Petkos, Sebastian Bitzer, and Sethu Vijayakumar; Proc. International Conference on Informatics in Control, Automation, and Robotics; presented at ICINCO 2007; [pdf, 1096KB]
Action Selection and Mental Transformation Based on a Chain of Forward Models: Heiko Hoffmann, Ralf Möller; S. Schaal, A. Ijspeert, A. Billard, S. Vijayakumar, J. Hallam, and J.-A. Meyer (Eds.); Proceedings of the 8th Conference on Simulation of Adaptive Behavior (SAB '04); 2004, pp. 213-222, MIT Press; [pdf, 612KB]; Cited by 26 or more
Learning internal models for eye-hand coordination in reaching and grasping: Wolfram Schenck, Heiko Hoffmann, Ralf Möller; F. Schmalhofer, R. M. Young, G. Katz (Eds.); Proc. EuroCogSci, 2003, pp. 289-294, Lawrence Erlbaum Associates: Mahwah, New Jersey; [pdf, 872KB]
Unsupervised Learning of a Kinematic Arm Model: Heiko Hoffmann, Ralf Möller; O. Kaynak, E. Alpaydin, E. Oja, L. Xu (Eds.); Artificial Neural Networks and Neural Information Processing - ICANN/ICONIP 2003; LNCS 2714, pp. 463-470, Springer, Heidelberg; [pdf, 158KB]

Peer-reviewed extended abstracts

Simple finger movements require complex coordination of excursions and forces across all muscles: Jason Kutch, Manish Kurse, Heiko Hoffmann, Evangelos Theodorou, Rod Hentz, Caroline Leclercq, Isabella Fassola, and Francisco Valero-Cuevas; Annual Meeting for the American Society of Biomechanics, State College, Pennsylvania, August 26-29, 2009.

Optimization strategies in human reinforcement learning: Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal; Advances in Computational Motor Control VII, Symposium at the Society for Neuroscience Meeting, Washington DC, 2008; [pdf, 104KB]; Journal publication in preparation. Suggestions welcome.

Dynamic movement primitives for movement generation motivated by convergent force fields in frog: Heiko Hoffmann, Peter Pastor, and Stefan Schaal; Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008; [pdf, 212KB]

Movement generation by learning from demonstration and generalization to new targets: Peter Pastor, Heiko Hoffmann, and Stefan Schaal; Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008; [pdf, 204KB]

Combining dynamic movement primitives and potential fields for online obstacle avoidance: Dae-Hyung Park, Heiko Hoffmann, and Stefan Schaal; Adaptive Motion of Animals and Machines (AMAM), Cleveland, Ohio, 2008; [pdf, 240KB]

Human movement generation based on convergent flow fields: A computational model and a behavioral experiment: Heiko Hoffmann and Stefan Schaal; Advances in Computational Motor Control VI, Symposium at the Society for Neuroscience Meeting, San Diego, 2007; [pdf, 104KB]; Journal publication in preparation. Suggestions welcome.

Abstracts

Error-feedback control through a forward model predicts preferential control of task-relevant parameters as observed in human finger muscle activation: Heiko Hoffmann, Evangelos Theodorou, and Francisco Valero-Cuevas; Society for Neuroscience, Chicago, Il, 2009

Muscle synergies may be artifacts of biomechanics rather than neural constraints, and are not necessary to simplify control: Jason Kutch, Manish Kurse, Heiko Hoffmann, Art Kuo, and Francisco Valero-Cuevas; Society for Neuroscience, Chicago, Il, 2009

Control of muscle strain energy as a robust means to produce slow and accurate finger movements: Proof of concept via hardware and cadaver implementation: Heiko Hoffmann, Jason Kutch, Manish Kurse, and Francisco Valero-Cuevas; Neural Control of Movement, Waikoloa, Hawaii, 2009; [html] [poster]; Journal publication in preparation. Suggestions welcome.

Human optimization strategies under reward feedback: Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal; Neural Control of Movement, Waikoloa, Hawaii, 2009; [html] [poster]; Journal publication in preparation. Suggestions welcome.

Do humans plan continuous trajectories in kinematic coordinates?: Heiko Hoffmann and Stefan Schaal; Society for Neuroscience, Washington, D.C., 2008; [html] [poster]; Journal publication in preparation. Suggestions welcome.

Behavioral experiments on reinforcement learning in human motor control: Heiko Hoffmann, Evangelos Theodorou, and Stefan Schaal; Neural Control of Movement, Naples, Florida, 2008; [html]

The dual role of uncertainty in force field learning: Michael Mistry, Evangelos Theodorou, Heiko Hoffmann, and Stefan Schaal; Neural Control of Movement, Naples, Florida, 2008; [html]

A computational model of human trajectory planning based on convergent flow fields: Heiko Hoffmann and Stefan Schaal; Society for Neuroscience, San Diego, California, 2007; [html]

A computational model of arm trajectory modification using dynamic movement primitives: Peyman Mohajerian, Heiko Hoffmann, Michael Mistry, and Stefan Schaal; Society for Neuroscience, San Diego, California, 2007

Uncertain 3D force fields in reaching movements: Do humans favor robust or average performance?: Michael Mistry, Evangelos Theodorou, Heiko Hoffmann, and Stefan Schaal; Society for Neuroscience, San Diego, California, 2007

Invited articles

Biologically-inspired image processing for machine grasping: Heiko Hoffmann; The Neuromorphic Engineer, Vol. 2, Issue 2, 2005, p. 7; [html]

Books

Unsupervised Learning of Visuomotor Associations: Heiko Hoffmann; MPI Series in Biological Cybernetics, Vol. 11, 2005, Logos Verlag Berlin; ISBN 3-8325-0858-9; PhD thesis, Faculty of Technology, Bielefeld University; [pdf, 7800KB] [html]